High-speed railway coal mine goaf foundation activation grading method

The invention relates to a high-speed railway coal mine goaf foundation activation grading method. The method comprises the following steps that a goaf site stability evaluation system is established; goaf site data are collected, and five machine learning methods are used for learning testing; selecting an optimal algorithm and establishing a goaf site stability evaluation model; grading the stability of the goaf site; performing influence degree grading on the train influence factors; establishing an extension comprehensive evaluation model; and determining the activation grade of the goaf foundation. According to the method, engineering geology, hydrological factors, goaf factors and the like are replaced by goaf site stability grades, a goaf site stability evaluation index system is established, the goaf site stability grades are evaluated by adopting a machine learning method, and an extension evaluation model is established to perform goaf foundation activation grade evaluation. And the evaluation proce